Literature DB >> 20697734

Modeling discrete and rhythmic movements through motor primitives: a review.

Sarah Degallier1, Auke Ijspeert.   

Abstract

Rhythmic and discrete movements are frequently considered separately in motor control, probably because different techniques are commonly used to study and model them. Yet the increasing interest in finding a comprehensive model for movement generation requires bridging the different perspectives arising from the study of those two types of movements. In this article, we consider discrete and rhythmic movements within the framework of motor primitives, i.e., of modular generation of movements. In this way we hope to gain an insight into the functional relationships between discrete and rhythmic movements and thus into a suitable representation for both of them. Within this framework we can define four possible categories of modeling for discrete and rhythmic movements depending on the required command signals and on the spinal processes involved in the generation of the movements. These categories are first discussed in terms of biological concepts such as force fields and central pattern generators and then illustrated by several mathematical models based on dynamical system theory. A discussion on the plausibility of theses models concludes the work.

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Year:  2010        PMID: 20697734     DOI: 10.1007/s00422-010-0403-9

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  18 in total

1.  Integration of intrinsic muscle properties, feed-forward and feedback signals for generating and stabilizing hopping.

Authors:  D F B Haeufle; S Grimmer; K-T Kalveram; A Seyfarth
Journal:  J R Soc Interface       Date:  2012-01-04       Impact factor: 4.118

2.  Bouncing between model and data: stability, passivity, and optimality in hybrid dynamics.

Authors:  Renaud Ronsse; Dagmar Sternad
Journal:  J Mot Behav       Date:  2010-11       Impact factor: 1.328

3.  Oscillator-based assistance of cyclical movements: model-based and model-free approaches.

Authors:  Renaud Ronsse; Tommaso Lenzi; Nicola Vitiello; Bram Koopman; Edwin van Asseldonk; Stefano Marco Maria De Rossi; Jesse van den Kieboom; Herman van der Kooij; Maria Chiara Carrozza; Auke Jan Ijspeert
Journal:  Med Biol Eng Comput       Date:  2011-09-01       Impact factor: 2.602

4.  Design and control of compliant tensegrity robots through simulation and hardware validation.

Authors:  Ken Caluwaerts; Jérémie Despraz; Atıl Işçen; Andrew P Sabelhaus; Jonathan Bruce; Benjamin Schrauwen; Vytas SunSpiral
Journal:  J R Soc Interface       Date:  2014-09-06       Impact factor: 4.118

5.  The effect of inherent and incidental constraints on bimanual and social coordination.

Authors:  Yiyu Wang; Osmar Pinto Neto; Madison M Davis; Deanna M Kennedy
Journal:  Exp Brain Res       Date:  2021-04-30       Impact factor: 1.972

6.  Dynamic Primitives Limit Human Force Regulation during Motion.

Authors:  A Michael West; James Hermus; Meghan E Huber; Pauline Maurice; Dagmar Sternad; Neville Hogan
Journal:  IEEE Robot Autom Lett       Date:  2022-01-11

Review 7.  Dynamic primitives of motor behavior.

Authors:  Neville Hogan; Dagmar Sternad
Journal:  Biol Cybern       Date:  2012-11-03       Impact factor: 2.086

8.  Dynamic primitives in the control of locomotion.

Authors:  Neville Hogan; Dagmar Sternad
Journal:  Front Comput Neurosci       Date:  2013-06-21       Impact factor: 2.380

9.  The effects of rhythmicity and amplitude on transfer of motor learning.

Authors:  Mor Ben-Tov; Shelly Levy-Tzedek; Amir Karniel
Journal:  PLoS One       Date:  2012-10-03       Impact factor: 3.240

10.  On the Kinematic Motion Primitives (kMPs) - Theory and Application.

Authors:  Federico L Moro; Nikos G Tsagarakis; Darwin G Caldwell
Journal:  Front Neurorobot       Date:  2012-10-12       Impact factor: 2.650

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